本文整理了Java中org.ujmp.core.Matrix.getAsInt()方法的一些代码示例，展示了Matrix.getAsInt()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。Matrix.getAsInt()方法的具体详情如下：
包路径：org.ujmp.core.Matrix
类名称：Matrix
方法名：getAsInt

Matrix.getAsInt介绍

暂无

代码示例

代码示例来源：origin: ujmp/universal-java-matrix-package

public int getInt(long... coordinates) {
  return discretized.getAsInt(coordinates);
}

代码示例来源：origin: ujmp/universal-java-matrix-package

public int getInt(long... coordinates) {
  int col = getSource().getAsInt(coordinates[ROW], 0);
  if (col == coordinates[COLUMN]) {
    return 1;
  } else {
    return 0;
  }
}

代码示例来源：origin: ujmp/universal-java-matrix-package

public double getDouble(long... coordinates) {
    final int value = getSource().getAsInt(coordinates);
    switch (colorChannel) {
    case Red:
      return ((value >> 16) & 0xFF) / 255.0;
    case Green:
      return ((value >> 8) & 0xFF) / 255.0;
    default:
      return (value & 0xFF) / 255.0;
    }
  }
}

代码示例来源：origin: ujmp/universal-java-matrix-package

public int getInt(long... coordinates) {
  return getSource().getAsInt(coordinates);
}

代码示例来源：origin: kompics/kompics

@Override
public int bestActionAt(int state) {
  Matrix stateRow = m.getRowList().get(state);
  if (stateRow == null) {
    stateRow = SparseMatrix.Factory.zeros(1, actions.length);
  }
  Matrix maxIndex = stateRow.indexOfMax(Calculation.Ret.NEW, Calculation.COLUMN);
  //LOG.trace("Max is: {}", maxIndex);
  return maxIndex.getAsInt(0, 0);
}

代码示例来源：origin: ujmp/universal-java-matrix-package

public ValueToColumn(Matrix matrix) {
  super(matrix);
  if (matrix.getColumnCount() != 1) {
    throw new RuntimeException("matrix must have one column");
  }
  for (long[] c : getSource().availableCoordinates()) {
    max = Math.max(max, getSource().getAsInt(c));
  }
  this.size = new long[] { getSource().getRowCount(), max + 1 };
}

代码示例来源：origin: ujmp/universal-java-matrix-package

int aij = A.getAsInt(i, j);
M[i][j] = aij;
M[i][j + p] = aij + 2 * p * p;

代码示例来源：origin: jdmp/java-data-mining-package

public Map<String, Object> calculateObjects(Map<String, Object> input) {
  Map<String, Object> result = new HashMap<String, Object>();
  Matrix source = MathUtil.getMatrix(input.get(SOURCE));
  Matrix target = Matrix.Factory.zeros(source.getRowCount(), 1);
  long cols = source.getColumnCount();
  long rows = source.getRowCount();
  for (int k = 0; k < rows; k++) {
    int tp = 0;
    int fn = 0;
    for (int r = 0; r < rows; r++) {
      for (int c = 0; c < cols; c++) {
        int count = source.getAsInt(r, c);
        boolean expected = r == k;
        boolean predicted = c == k;
        if (expected && predicted) {
          tp += count;
        } else if (expected && (!predicted)) {
          fn += count;
        }
      }
    }
    target.setAsDouble(MathUtil.sensitivity(tp, fn), k, 0);
  }
  result.put(TARGET, target);
  return result;
}

代码示例来源：origin: jdmp/java-data-mining-package

public Map<String, Object> calculateObjects(Map<String, Object> input) {
  Map<String, Object> result = new HashMap<String, Object>();
  Matrix source = MathUtil.getMatrix(input.get(SOURCE));
  Matrix target = Matrix.Factory.zeros(source.getRowCount(), 1);
  long cols = source.getColumnCount();
  long rows = source.getRowCount();
  for (int k = 0; k < rows; k++) {
    int tp = 0;
    int fn = 0;
    for (int r = 0; r < rows; r++) {
      for (int c = 0; c < cols; c++) {
        int count = source.getAsInt(r, c);
        boolean expected = r == k;
        boolean predicted = c == k;
        if (expected && predicted) {
          tp += count;
        } else if (expected && (!predicted)) {
          fn += count;
        }
      }
    }
    target.setAsDouble(MathUtil.recall(tp, fn), k, 0);
  }
  result.put(TARGET, target);
  return result;
}

代码示例来源：origin: jdmp/java-data-mining-package

public Map<String, Object> calculateObjects(Map<String, Object> input) {
  Map<String, Object> result = new HashMap<String, Object>();
  Matrix source = MathUtil.getMatrix(input.get(SOURCE));
  Matrix target = Matrix.Factory.zeros(source.getRowCount(), 1);
  long cols = source.getColumnCount();
  long rows = source.getRowCount();
  for (int k = 0; k < rows; k++) {
    int tp = 0;
    int fp = 0;
    for (int r = 0; r < rows; r++) {
      for (int c = 0; c < cols; c++) {
        int count = source.getAsInt(r, c);
        boolean expected = r == k;
        boolean predicted = c == k;
        if (expected && predicted) {
          tp += count;
        } else if ((!expected) && predicted) {
          fp += count;
        }
      }
    }
    target.setAsDouble(MathUtil.precision(tp, fp), k, 0);
  }
  result.put(TARGET, target);
  return result;
}

代码示例来源：origin: jdmp/java-data-mining-package

for (int r = 0; r < rows; r++) {
  for (int c = 0; c < cols; c++) {
    int count = source.getAsInt(r, c);
    boolean expected = r == k;
    boolean predicted = c == k;

代码示例来源：origin: jdmp/java-data-mining-package

for (int r = 0; r < rows; r++) {
  for (int c = 0; c < cols; c++) {
    int count = source.getAsInt(r, c);
    boolean expected = r == k;
    boolean predicted = c == k;

代码示例来源：origin: jdmp/java-data-mining-package

public void trainAll(ListDataSet dataSet) {
  Matrix dataSetInput = dataSet.getInputMatrix();
  Matrix max = dataSetInput.max(Ret.NEW, Matrix.ROW);
  cumSum = new ArrayList<Integer>((int) max.getColumnCount());
  int sum = 0;
  cumSum.add(sum);
  for (int i = (int) max.getColumnCount() - 1; i != -1; i--) {
    sum += max.getAsInt(0, i) + 1;
    cumSum.add(sum);
  }
  LabelAlphabet inputAlphabet = new LabelAlphabet();
  int featureCount = getFeatureCount(dataSet);
  for (int i = 0; i < featureCount; i++) {
    // iterate from 1 to max (inclusive!)
    for (int fv = 1; fv < max.getAsDouble(0, i) + 1; fv++) {
      inputAlphabet.lookupIndex("Feature" + i + "=" + fv, true);
    }
  }
  LabelAlphabet targetAlphabet = new LabelAlphabet();
  for (int i = 0; i < dataSet.getTargetMatrix().getColumnCount(); i++) {
    targetAlphabet.lookupIndex("Class" + i, true);
  }
  InstanceList trainingSet = new DataSet2InstanceList(dataSet, inputAlphabet, targetAlphabet, cumSum);
  classifier = trainer.train(trainingSet);
}

代码示例来源：origin: ujmp/universal-java-matrix-package

int count = result.getAsInt(row, i);
result.setAsInt(++count, row, i);

代码示例来源：origin: ujmp/universal-java-matrix-package

case INT:
  for (long r = 0; r < rowCount; r++) {
    Integer c = m.getAsInt(r, column);
    rows.add(new Sortable<Integer, Long>(c, r, true));